{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e2893f93-72d9-40ea-93e9-be2d3f3f66ee",
   "metadata": {},
   "source": [
    "# Batch Inference on data in DeltaLake\n",
    "\n",
    "In this tutorial, we showcase how to perform ML model batch inference on data in a DeltaLake table.\n",
    "\n",
    "> **ML Model Batch Inference**\n",
    "> \n",
    "> When we have a trained machine learning model, the next step is often to apply this model to a large amount of data. This involves efficiently loading the model into memory (potentially GPU memory) and then running data through the model to produce outputs.\n",
    "\n",
    "To run this tutorial you will require AWS credentials to be correctly provisioned on your machine as all data is hosted in a requestor-pays bucket in AWS S3.\n",
    "\n",
    "Let's get started!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5f343a0",
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "CI = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2633113",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Skip this notebook execution in CI because it hits non-public buckets\n",
    "if CI:\n",
    "    import sys\n",
    "\n",
    "    sys.exit()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff29e3e0-0038-4365-9f0e-ebc2e835e2b8",
   "metadata": {},
   "source": [
    "## Provisioning Cloud Credentials\n",
    "\n",
    "First, let's provision credentials to Daft! We can do so using the ``boto3`` library, and creating a Daft {class}`IOConfig <daft.io.IOConfig>` object like so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8bda28c8-94f1-492d-8e25-6f6be3327b07",
   "metadata": {},
   "outputs": [],
   "source": [
    "import boto3\n",
    "\n",
    "import daft\n",
    "\n",
    "session = boto3.session.Session()\n",
    "creds = session.get_credentials()\n",
    "io_config = daft.io.IOConfig(\n",
    "    s3=daft.io.S3Config(\n",
    "        access_key=creds.secret_key,\n",
    "        key_id=creds.access_key,\n",
    "        session_token=creds.token,\n",
    "        region_name=\"us-west-2\",\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fd72180-8b2f-4e3a-8ee5-043cf2396bd7",
   "metadata": {},
   "source": [
    "## Retrieving Data\n",
    "\n",
    "Now we're ready to read data from our DeltaLake table!\n",
    "\n",
    "We've hosted a 10k row sample of the validation set of imagenet for you to try this out.\n",
    "\n",
    "Simply pass in the ``IOConfig`` that we previously created to the call in order to ensure that we can access the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b18c8c0d-5711-4a3a-b2b8-7361162d9d00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table class=\"dataframe\">\n",
       "<thead><tr><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">folder<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">filename<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">source<br />Struct[database: Utf8]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">size<br />Struct[depth: Utf8, height: Utf8, width: Utf8]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">segmented<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">object<br />List[Struct[bndbox: Struct[xmax: Utf8, xmin: Utf8, ymax: Utf8, ymin: Utf8], difficult: Utf8, name: Utf8, pose: Utf8, truncated: Utf8]]</th></tr></thead>\n",
       "</table>\n",
       "<small>(No data to display: Dataframe not materialized)</small>\n",
       "</div>"
      ],
      "text/plain": [
       "╭────────┬──────────┬────────────────────────┬─────────────────────────────┬───────────┬──────────────────────────╮\n",
       "│ folder ┆ filename ┆ source                 ┆ size                        ┆ segmented ┆ object                   │\n",
       "│ ---    ┆ ---      ┆ ---                    ┆ ---                         ┆ ---       ┆ ---                      │\n",
       "│ Utf8   ┆ Utf8     ┆ Struct[database: Utf8] ┆ Struct[depth: Utf8, height: ┆ Utf8      ┆ List[Struct[bndbox:      │\n",
       "│        ┆          ┆                        ┆ Utf8, width: Utf8]          ┆           ┆ Struct[xmax: Utf8, xmin: │\n",
       "│        ┆          ┆                        ┆                             ┆           ┆ Utf8, ymax: Utf8, ymin:  │\n",
       "│        ┆          ┆                        ┆                             ┆           ┆ Utf8], difficult: Utf8,  │\n",
       "│        ┆          ┆                        ┆                             ┆           ┆ name: Utf8, pose: Utf8,  │\n",
       "│        ┆          ┆                        ┆                             ┆           ┆ truncated: Utf8]]        │\n",
       "╰────────┴──────────┴────────────────────────┴─────────────────────────────┴───────────┴──────────────────────────╯\n",
       "\n",
       "(No data to display: Dataframe not materialized)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = daft.read_deltalake(\"s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/\", io_config=io_config)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9dd7cff7-8830-4372-b15d-2b9306e21e8a",
   "metadata": {},
   "source": [
    "For this demo, we're running this on our local machine and thus will be limiting the total amount of data to 100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "72c23712-c368-47f6-af75-901f849608f0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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      },
      "text/plain": [
       "ScanWithTask-LocalLimit-LocalLimit-Project [Stage:1]:   0%|          | 0/1 [00:00<?, ?it/s]"
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     "output_type": "display_data"
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     "data": {
      "text/html": [
       "<div>\n",
       "<table class=\"dataframe\">\n",
       "<thead><tr><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">folder<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">filename<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">object<br />List[Struct[bndbox: Struct[xmax: Utf8, xmin: Utf8, ymax: Utf8, ymin: Utf8], difficult: Utf8, name: Utf8, pose: Utf8, truncated: Utf8]]</th></tr></thead>\n",
       "<tbody>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000001</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 441,<br />xmin: 111,<br />ymax: 193,<br />ymin: 108,<br />},<br />difficult: 0,<br />name: n01751748,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000002</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 499,<br />xmin: 45,<br />ymax: 162,<br />ymin: 49,<br />},<br />difficult: 0,<br />name: n09193705,<br />pose: Unspecified,<br />truncated: 0,<br />}, {bndbox: {xmax: 437,<br />xmin: 2,<br />ymax: 207,<br />ymin: 69,<br />},<br />difficult: 0,<br />name: n09193705,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000003</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 385,<br />xmin: 38,<br />ymax: 373,<br />ymin: 19,<br />},<br />difficult: 0,<br />name: n02105855,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000004</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 441,<br />xmin: 94,<br />ymax: 284,<br />ymin: 15,<br />},<br />difficult: 0,<br />name: n04263257,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000005</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 425,<br />xmin: 17,<br />ymax: 332,<br />ymin: 1,<br />},<br />difficult: 0,<br />name: n03125729,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000006</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 358,<br />xmin: 105,<br />ymax: 279,<br />ymin: 204,<br />},<br />difficult: 0,<br />name: n01735189,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000007</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 498,<br />xmin: 89,<br />ymax: 268,<br />ymin: 75,<br />},<br />difficult: 0,<br />name: n02346627,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000008</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 181,<br />xmin: 14,<br />ymax: 328,<br />ymin: 163,<br />},<br />difficult: 0,<br />name: n02776631,<br />pose: Unspecified,<br />truncated: 0,<br />}, {bndbox: {xmax: 331,<br />xmin: 176,<br />ymax: 223,<br />ymin: 81,<br />},<br />difficult: 0,<br />name: n02776631,<br />pose: Unspecified,<br />truncated: 0,<br />}, {bndbox: {xmax: 236,<br />xmin: 77,<br />ymax: 155,<br />ymin: 2,<br />},<br />difficult: 0,<br />name: n02776631,<br />pose: Unspecified,<br />truncated: 0,<br />}, {bndbox: {xmax: 355,<br />xmin: 163,<br />ymax: 374,<br />ymin: 219,<br />},<br />difficult: 0,<br />name: n02776631,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td></tr>\n",
       "</tbody>\n",
       "</table>\n",
       "<small>(Showing first 8 of 100 rows)</small>\n",
       "</div>"
      ],
      "text/plain": [
       "╭────────┬─────────────────────────┬─────────────────────────────────────────────────────────────────────────────╮\n",
       "│ folder ┆ filename                ┆ object                                                                      │\n",
       "│ ---    ┆ ---                     ┆ ---                                                                         │\n",
       "│ Utf8   ┆ Utf8                    ┆ List[Struct[bndbox: Struct[xmax: Utf8, xmin: Utf8, ymax: Utf8, ymin: Utf8], │\n",
       "│        ┆                         ┆ difficult: Utf8, name: Utf8, pose: Utf8, truncated: Utf8]]                  │\n",
       "╞════════╪═════════════════════════╪═════════════════════════════════════════════════════════════════════════════╡\n",
       "│ val    ┆ ILSVRC2012_val_00000001 ┆ [{bndbox: {xmax: 441,                                                       │\n",
       "│        ┆                         ┆ xmin: 1…                                                                    │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00000002 ┆ [{bndbox: {xmax: 499,                                                       │\n",
       "│        ┆                         ┆ xmin: 4…                                                                    │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00000003 ┆ [{bndbox: {xmax: 385,                                                       │\n",
       "│        ┆                         ┆ xmin: 3…                                                                    │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00000004 ┆ [{bndbox: {xmax: 441,                                                       │\n",
       "│        ┆                         ┆ xmin: 9…                                                                    │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00000005 ┆ [{bndbox: {xmax: 425,                                                       │\n",
       "│        ┆                         ┆ xmin: 1…                                                                    │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00000006 ┆ [{bndbox: {xmax: 358,                                                       │\n",
       "│        ┆                         ┆ xmin: 1…                                                                    │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00000007 ┆ [{bndbox: {xmax: 498,                                                       │\n",
       "│        ┆                         ┆ xmin: 8…                                                                    │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00000008 ┆ [{bndbox: {xmax: 181,                                                       │\n",
       "│        ┆                         ┆ xmin: 1…                                                                    │\n",
       "╰────────┴─────────────────────────┴─────────────────────────────────────────────────────────────────────────────╯\n",
       "\n",
       "(Showing first 8 of 100 rows)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.limit(100)\n",
    "df = df.select(\"folder\", \"filename\", \"object\")\n",
    "df.collect()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac0d9686-4d93-42b5-9c49-6f96dd0d5522",
   "metadata": {},
   "source": [
    "## Retrieving Images\n",
    "\n",
    "Let's now resolve the images to their URLs, and start downloading/decoding them into images in our dataframe!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "06c7d63a-582e-4e67-ba8e-054b5704c40f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df = df.with_column(\n",
    "    \"image_url\", \"s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/\" + df[\"filename\"] + \".jpeg\"\n",
    ")\n",
    "df = df.with_column(\"image\", df[\"image_url\"].download().decode_image())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ec1400f-fd32-4b96-8bf7-32b333bd7063",
   "metadata": {},
   "source": [
    "We also want to do a little preprocessing on our images to get them all into the same size. We can do this with the {meth}`.resize <daft.expressions.expressions.Expression.resize>` method!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e7f0ba8f-7309-4ed1-bc3f-f5f6fa319980",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table class=\"dataframe\">\n",
       "<thead><tr><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">folder<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">filename<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">object<br />List[Struct[bndbox: Struct[xmax: Utf8, xmin: Utf8, ymax: Utf8, ymin: Utf8], difficult: Utf8, name: Utf8, pose: Utf8, truncated: Utf8]]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_url<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_resized_small<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_resized_large<br />Image[MIXED]</th></tr></thead>\n",
       "<tbody>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000001</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 441,<br />xmin: 111,<br />ymax: 193,<br />ymin: 108,<br />},<br />difficult: 0,<br />name: n01751748,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000001.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, /9j/4AAQSkZJRgABAgAAAQABAAD/wAARCABgAIADAREAAhEBAxEB/9sAQwAIBgYHBgUIBwcHCQkICgwUDQwLCwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy/9sAQwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD0NQAOlMzFaRUGWYAe5xRcLETXsKxl/M3Af3eaTaHYji1S2klEY8wEjOWjIA/HpS5kHKXgcjI5FUAbhnGaBAZApwQ34CkA5WB9fxFADutMBOc0AIaAEzn/APVQAEYoAaQB3FADTxQAhGaAKYlupCcKqKOmPmJqLsdgiaZztlik2/7SjFCuMsCCMg5QYPbGKqwriG1tgMmFCAc/dzSshlhChHGcfTFMRJtB70xCFSOhBoAAre1ACn5etACZz3oAMfnQAlACZoAaQDQAxo1J6UrIAxjpQBE2UjzDHvb0JxU+hQod2wrIUYjOc5FFwsTqhCjcQT7VYh+w+1Ag2UALg0AKAfSgYcDvSAMZ7GgBGyBwR+NACE+lFwEPFFwGGQDjB4ouFhC5/umi4WGeackbaXMFiCR5WPyuV/CpbY7IlEKEYb5h/tHNVYVxd0MCqPMVB7miwwW5Rx+6bzRnB2kHFK4Equ3ZD+JoAVpXA+5+RouwI/tKqAWkWMd9/P8AWjUBJNRtlQ4lB9wpNVZiKzaoox5Ub+nK4z+ZpWYxE1Z8fNDkeoYD+tGoEM2uRRuVkKxHHG4nmk2gSYserTPtKRxyqR0V8H9aE0waaLEeowXHytujl7xuOabQIr3Os21sG+R2wMkKv+NTcdjMk8XRRzbJbOcLkDKkHr04phY6JFjZFcA4IzzTshXEDqegJ/CkIXYG6k4+tMBVijH3R+tFgHiMH1/OiwEUzGNXbceFyPm70hnFXPiSVGP2y2uGAPHlvx+NW5K2grPqVX8TEsEhsiu7uV5qdX1HoZ+oefdqHd2+Xnb52APqTScntEEu5XsdRawkXYZJZJCT5ZfK8c4HrTTW0gfkbNv4ys0j8u4t5I33fN8lNq+zBFuLxnozK6yTS89P3fFLkY7mdL4n02KTfbFhKpyCExn6il7LzHzFefxNdatcr5EBUrwpHatLqKItc6+0tbe6hV3t0ZmA3kk8n865tzQsjRLbzA626Z7HJ4quULmjHBJEm1CoA9apXJH7mUZbFFxEgf2qhC76YBvPoaQGdq199ktflTc7HAJGcfh3pXS3GcoY4ZbgyecH3dSwMaZ/AVDb6DVupsW3h61mgjJihYdQw5otLqw0Em8J2rzeakvkk9Sqqf6cUWfcNCWPwlpsREsoMrL0LnpT5bBcdd+GrGdfnihx0B2UWaC5kTeA9NmO5FK5PVWI/mDRdjGp8P8AT4TuYyN6/P8A/Wp6iNGy0O0tiiwxYU85zyB7561FrjN+2s4oR8uCParUUJssEAcZqrCDcKAEJFMRGDnj+lK4Buweh+tFxiGUDqOPXNK4WGSLb3AKvGJAOxXIpXQyo2jWUn/LsFGc4DkUuVdh3LkFpFbReTGv7vrgnNMQ4wYGIsRj2FFgF2uqbAu8e560AV9z7iroVXPGM0hibVOFO5UPrnFAEpji2hB8uPajQQNb5YNlT9RTsFxuJInBUkqeMZ4FAEhkKpl+vtQAz7VjBZSoPTIouFhfO/eBCMZGRzRcViHIbBCvnvnrSGSAMW6EDtTAk2rxnigBwK9AuaABzJxsXvzk0AOUn+Irn2oAkzimIUfWgAOPrQMheJX4I49KVgEEOMc8juRQA3y8OC3J7e1AEZkl8zaMgdclc0AIZdxXBYc9zSAd5hBAPLewNMBPkkzkDcO2eaAFU5AwKQDvmPfFMB2M980APQbeOgoACc9qAAKc84oAcenHWmAnJ4yBSARgwHTIHoeaLAVxO28EWVySOhLAD9TSAV5p8Z+zouOu6Tn9BTAkgnWdCwQgg4OQf60AOOf7tMBpUe1AhrZ+6cUhkZt4W2lkDMOhxz+dAiREOOcfhRYBx+XqRSGG4AAZ49qLgKHzxzTuAEcY+bB9DigBqgL8oz+JzSGO38jA+XvmmA5ju7UCFBA7c0ADfN1oAhlQlf3eAfUjNFguESPGMNKW+oAoEOJOOKBiZP0oARmY9hTENBcfeOfwpXATefoKQxitnHekMduPNAArgGmBLvH40CFwPX8aBjhsxzzT0ELkdaAAc0AKAAKYg3CgBu7PSgBMmgBpPvSGMJHrTEAP+c0gKyyb8ck0mMdu7elIB6gntTAeE5oAUKvfrQMeFHTmgQu3J56U7APFFhXAMKAELE9DQMT3oAQnIpiIzzSGRy+YAoiCklvm3+lAECm6+UMkI5w2GJ49uKNAFjedG/feUBj+EmgR/9k=\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000002</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 499,<br />xmin: 45,<br />ymax: 162,<br />ymin: 49,<br />},<br />difficult: 0,<br />name: n09193705,<br />pose: Unspecified,<br />truncated: 0,<br />}, {bndbox: {xmax: 437,<br />xmin: 2,<br />ymax: 207,<br />ymin: 69,<br />},<br />difficult: 0,<br />name: n09193705,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000002.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000003</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 385,<br />xmin: 38,<br />ymax: 373,<br />ymin: 19,<br />},<br />difficult: 0,<br />name: n02105855,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000003.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000004</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 441,<br />xmin: 94,<br />ymax: 284,<br />ymin: 15,<br />},<br />difficult: 0,<br />name: n04263257,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000004.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, /9j/4AAQSkZJRgABAgAAAQABAAD/wAARCABgAIADAREAAhEBAxEB/9sAQwAIBgYHBgUIBwcHCQkICgwUDQwLCwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy/9sAQwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDw2PY0qh8hMjdjrigZ2v8AYNnPaKbS/mVAmVUIBuPbODzVScbEq9x0K3EW1WWQ477M1yto11Ne1uJVxkyD/tmazbRRPJrIt22kzMf9mE0Rg5bA3YsprK7Qd5z6bMmtPYyFzCnW5APliZhnuuKfsV1YXZIuuS85tG6460eyj3C7JYte3MAbSQZOBjmq9hH+YXMWo9VhkA+SQZOORWn1OT2aF7RFpZo3xg9fUYqJYSquge0iOwD3HtWLi47oq6ewjRu5CRrudunt701bdiYhjS2UxwsWYjDyevqB7fzobcmK1jzHWfDst1qVxcJKAHcnBHShVEtC7MyZPDN2vRkNUqqCxY0/wffXOGnxAvoeTRKslsSos7Cz8NSQwrGk+FUY6VLq3QcprW2lJEBuyx9awcmyyHUb4Wji2tUBmPJJHCit6dFW5pkuXRFWHSri+ffKzu3qxwBTliIw0Q1Bs3LbQY1A37cegrmliX0LUDQj0i3HVSaydeRXIiUaZbAAeUDj1qPbS7lcqEGl2wPEWKarz7i5EXLbSLVyOCMdPau2lipGM4IvL4dilA8twABhQR09676WKe7MJQFfRxZqPOiSQNwqnnP+FdE8TBx1VyFB30MKaGcXc9lAnlJGgdm7vk9PYD9a5oYX2l7uzLdSxnPJMhZMEsPVf61z1aUqTtJFqSlsUJ7MjJ29fauSzNboyLlxESGC/niqUbiud8um2idIgT7V0ckTLmZZjsoyMeWBT5EHMxf7PhJ6E0vZofMzk5dLKazM0g+UncPp0ox16drbPYuj7xsRBIkBOFUV406iWrZ1Ri3oh/2rj5E/FuK5JYp/ZRr7JL4mN+0ynq4H0FYurVfUr3F0FSdz1dqV6n8wc0exKryE8Mape07ico9i3bSzIw+YH2IrenUrR63M5ezfQ2bbUxHgSRnJ4G05ya9PD4mcpcsonPUpxSuma1isdw5ndleQ8AZ4UV30pxk73uYTTWgybTYbjVp3KgM0S8+tdNOo4yM5K6OZ1vSWtXMir0Ocetd75a9PlkZK8WZnlpOgO0hSMivH5bM6bsxtT0JJFLADNaRUTNtnWquOn50iiRcE45NAEypz6D0FAGbqlkEmS4wfKY/OVHI9676ShWpeyqK5m24yujIumtYrohLtZUP3Cy7T+VeHi8ir356eq7HdTxkbcr0AtjqK8OdGpTdpqx0KalsyPLk/LSSQixEj4GetWooVy2gKDNaKKIuWElK9VzWsYolssSSQ74xEWLbfnYjgH0FdbnGMFCHzM0m3dlqGR48NGWDeorBp7rRlp9zZ0m+ee6k+0YDkAKfXFduFxMnLlqbmdWmrXiYvi3xDZPIulWLrcX8p2kJyIx6k16sZuCuc/LfVlRbdYIkjHRVxXNuURPGD2zTEW1QHqaAJlA7CmBYRDjOKALMCRygwyrlXGOauEnF3Qnqc1rXhP70kJyFBNd9PE9GZ8pyM6alpmcE7TnqM1pNwqK0lcabWxRbxVLattuLVSwPXOM151XL8LP7NvQ2jVmupPH45tBt3wOOOea45ZXR+zJo0VaXUux+NtJYgEyqP93P9aweWdpFe1Jh4z0kn/WSD6pR/Z8l9oPaEZ8c6chJRJnx7AZqvqD/mFzkE3xCk2ssFlg9F3t/hWscHBbsnnMu48Ta3qhEazGGNuNsfGa0VOlT1SC7Z1PgzRTbRSXsozI/ygnr70c7lqTI6t03cCmSVxHl8ZpoTJFXsDTAtRRsOScCgCwAT0B/GmkA4DBDdSOlUiStd6x9nmK3Cfuz0YVpy6XIc7PUqXkMF3F5ihXDDhhUXaNFZnHaxosEwOEGehNT7VotRRyVz4eCu20/Q5/pUOuUoFM6HIAGA+Y9Vpe3Q+Qnj0JgwXOQed2OlL26HyFtNFwOSMjp70nXDkLCaRGGy3ORzWbrsfKathp6l0RVHB6kdKwlJsq1jtIbuG2t0hQYVRitVUSViHFsa2oKQRzVe0QuUhN8q85NNVELlNqNB2xW5mWEAB9TTAk600AEADmqRJUuLeO7Qx7QwrROxEkmZECGy8+L522clMfyrKq7K5VGOvLcxbi9DLMZgqBCOhzwemR2rk9o7XmjsdJXtB3OY1HVhFK4ji3AcAn+I/wCFWo3VzFzs7FGHVJus0SqCfvH5QB/M0nTXQFUfUnOt228KqOy93xgVPs7bmilzOyJotXtXzncqju3ep5GU9C7aTRXm4xElV6tjispaDsbNqhXocVAF0MNnFK4EbOSDkdDVCImamB1qyDHFegcxMrGgCTcAOtNMBhUueelUiRQyr8q1aEStbxXUYR8g9ipwc0pbAtznb3w5EjPJEVDMNruigFvr6VySipK0XodMZuL95anKappro5It5CR/Fn+oppWM5S8jAudPeXOy1ck9Sckiq2JTQ06TPJEojjYAdcjb/Os3JJ6nXFrl0ZMun2dnGHu8SSdo06VjKpd2QampZs0u0BFjjHRFGAKybEbMIIQ/SlcY8ZwoH1oAeR8uOtMRWZuSO9UI64HjgV3nMPRj0/lQBZjA4pgSHBXHencQ0Reg/GmmKwuSoxg4q0xWILv94hJDBgPvKcN+PrWc6MZ6rRlxqOKs9UcpqM8kDE71x/tqV/8ArVyzpVo7O5tGdN+Rkyaoij53gH/bUVi/a9jS1PuZVxqplJWE7z/0zGf16VDjPq7FXgtiO20+a4lEkwPsKWkdhNtnQ2tpsA4qQLbDYMDvQAKMc0wGSPjgdaaEVzllJ71Qjpo3L46mvQOYuxDA60wLKsBQA4Pk0APV+cCgCRXAPNACTRxuoBGM0czCxUl0+KXgjinzsXKiCTw7p8v37aJj6lBScrlJWKzeGbBfuwqPoKwlBMtSZFJpEEK/KlZSpItTIRZbRkj8Kz9mPmK8lsS+T26UuQdytKCnygZNLlHcq7SXP6mnYQ1jt6U7AdJCwAGK7zmLaNTAkaTavHWkAIScZFDVxllSEWmIVSc5NAC7yTnvSGTR8cmkA4tQMieQKuTSAqbhKxJpWGQyoHOFOPWlYLlaSDkgD5RUuI7lG4iBPA7dalxHcpNEQduPrS5B3Kl0nl5IpcoXNmGXpXUYlxZewoAsKQOe9Axwk96AJUYsRzmgQ8vjigY6P5uaAJS9AAWx16UAVJZdzdeKkYNhU9KAIm+QHPWgCIEvnP3aAIJmHTFICt5Q5Y8UWC5lX4y+3sKVh3P/2Q==\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, /9j/4AAQSkZJRgABAgAAAQABAAD/wAARCACAAIADAREAAhEBAxEB/9sAQwAIBgYHBgUIBwcHCQkICgwUDQwLCwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy/9sAQwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDw6NBJKkZbaGIBb0oGdhN4Zuo7Vfst7brEi5OxiC59SPWrcdCFLUfazOoVWKbgOea5WbG5aXMuAAY6yZRf/tAxf6ySJfqcVIFiPUCU3h4ivrmqUW9kFxG1uKP7xU84+U1aozYuYeuvWh65646U/YSDmJ49asZDgS4PuKf1efQOZFpLy3k+5Mh5x1oeHqLoLnRLwehrNxa3RVxMZpAyOX5U9zwKuKuyWO8k2UZQHMzj5yP4Qe31pylzPyElY8m17SLuXVrmZFDKzkimpxWhepjSaXdp96FvyqlNCKiKzMNoJPbFaEHdabPOlnGki5bb3qZPQVjWttMFyAzQKPfFcrka2L7aXY2kBlnQKBSipTdkN2RiXFtDdz74LQADoXOT+tdkYxgtWZ7mjBpLzYGSxHaolWSKUTSi0AuANh9QT/KsXiF3K5CceHsqPlUEnJz2rN4or2Y1PDxVgSqnBJ+tUsXqJ0y1D4fYbQEPy8nFehSxSZjKBcGmSQ4UZBVctx3rsjUhU0auY2aLcGmyTDHmBGA6tyufrWdTCUpax0GqsluVmYWWHlw8/PlqvOO27/CvMcXqlsbXKhuI2yS2D1OaSQHPz2wLMx785rC+pqU5IEPAwaEIk0rwvb2AykBZ+7uMmtJSlIlWR0cOmgKMxD8qWoaEwtimPl/Co5WVdHOaq0l5qfk5PlxYG31NdmlKFupC953New0pAoMgz3C9MVwVMQ9kbKHc24IEjA2qB+Fc7m3uWkWVAFQ5pDsG5P7w/Oo9rHuVyS7ACh/iH50KrHuDiy/ZtgjFddKZjNG1bxpIgDqGz1yK9CnJrY55Iiu7OJ5Bb2yfO3MnsK3daUlyIhRS1OcudGZNevPMXdmFMen0FdeH5E3HoRNu1zFuLGRJXjZ/l6YIGawxeG5Fzw2ZdOd9GQz2JCZ4+leZyG3MczqIaFj+6/EcVpGDE5I9J2qOFUE/StzMkjiJ+9igB/koTwoPvSsguclLp/k6zLI2PmO6ozFONmtma0NUaaMsS7nOBXizqKKuzrjFydkBuZGHyjYPU9a4p15y+HQ25Ix31Isk/fZmPuax5W/iZXtLbIfGccbRQqSJdR9yVV3HpVqkhe0Zat1ZGBVmU/WtIU5R+F2JdRPdGxb6jLBhWAcnhcetephatZy5Zaruc9SMLXRuaYY2UsGDSMcsa9KjUhK9mc1SLW5I1sk2pTbgDmMV0Qk1K6M3scx4g00wkug5Xphf1r0qc1Ug4sy2ZjofORWZfvDNeNazsdBn6jpiSRk459K2hYzdzoVUj61BZMB6tj6UASIvPAwKAMrU7QC9Q5CpKQC5HQ13whDEUPZzI5nCV0Ubu0ltbtknKNj7pRsqR6g18njsBWpS5mrxPSpYiEo2W5FuAFefY0bImkI6DNWokliHcQCRVKIrlyP5Rk1ooktlmOVR1HFbRiQ2WpkWF4cSAyOm4gfwiu2VqdNRW7Ml7zuWIZmgIdHw1crutYuzNU+jNzSb77bcyswwwAB969HCYj2l1LdGFany6rYz/Gd7BZ6cFJX7RMfLiTuSa9OE+VGHLcxIrfyYI4z1VQK5XqWRyRjvTAtKCfu/nQImSLBz3oGTqg60CHz2Av7R4sfMOVrooVOSRMlc4TU7W8tZeC4APPoa9VTjJWeplsytFq8JyLkbG7bRmvJxOT4errDRnTDETW5ehuLaUBkmQj3OP5141XJq8Ph1OiOIi9y9Gy4BBGPrXHLC1ofFFl88X1LA6c1Fmt0A7IFaJskehG/OKu7uIsPf29uhMssa4HO44reNKUloibmNd+P7TSmzZATT4PT7tdNHCSjJTk7ClNNWMzw/Ne+JNefVNSkMhiGUU9F9ABXZKfRGTVjs5V4BqBFYjJ5HNNCZYRuKYE8Y3GgCyqDHXmgCe3k8qdepzwapCY3VdOhu0bKjfjAJraFRxJtc8/1jw4U3eWPqe1dCr3CxxGpWN1ZSErnb1PsKTqFJGcuq30LAJO+QMA7qzdRlIuReK9XR8i4c467sGsnyvdFJsnTxbqxyfOJHTlRUOEOw7jH1zV5s7rmQbugzjFO0ewXKzm4lLCSV35y2TmjmEXbLTGkZGZeD1Nc86tilE9Q8OactlpSnGC/J+lTDVXYpbmo2OSelWSQoRvzxiqQmOVQTgUxFmOLHLH8KALAUnnGPrTSAcBjp19TVokz7vU5bK4Jky0TVo46XRk5crCdo7mASIQyMKyehsnc5XVrJJRjAGPbqPSs3Jo0SOSu9HjLsAAF7DHINQ6rRSiUG0X5Vxt39/Sl7bUrkJ49GQSAAfuyOfrS9toHKW00pFUjjP8PHSk6rDlLCWMaMDjtz71nKo2NI07C1DyooGFzzWTdyjrBfCNFRR8oGK1VQz5SJr/gjFP2gcpE14BzzVKoLlN2NAvAHNdBkWUUDk9aYEh5600INvHNUhFK9to7iIxkZrWLtoZyjcyLMfZI5Y3kAjXqD2rKo0ldl0Yu9kZct0lyZQFKlGwQa5I1VO51ypOFjm9R1GC3lkU/MUHzY9ewp8rZnzpGdbaskzAGM7mOFRefxNKVOw1UuXWvbZJBE0q7z2HNRyO1yuZbE0dzbyMVSVWI64PSpsyrE8e12wCD7VDA1LQMn3ePeoGXxgJRcCJnyPxqkIjZsjFMR16fKOa7znJVb8/SgCQEjrVIGRySN90VRIRrs5PX3qiStdaaCsksKby/30J4x3IFTNKSsxxbi7o468sLgGUSSNLDIoMcaptK49/pXDVVo8jWp3U5Xlzp6HO6jpGHyyN1ztZutaxloc846tmRcWrwo2zZEPQHk/jVXIsVmtljjUnlm71LbZ0wUYq/Us2mm3NyNkLYU8ls4FRKSQ9Hu7nQWFtFZAxRt5kp++59a55O47m7DwuagCQN8i+5oEKRlSfWmBCTVCOsViRzxXoHMTocUAShiwwB1oAAm0ZNUhMZksw44q0Sy1C+0ZPSiS5lYE7O5T1BIicOArN0PZvpXK52fLPRmyhdc0djjtT0dJnbEhHs3NF0ieVsxJfD7N9+bGOh60OpEFGSGHSolT9/IXx/dGKwlUXQ6YylazKt1eCNFtbUbFPHy1ipczuNq25f0632gZpNiNqNcKaQxVAYjNAh7HtVICq/DHnimI64Enp2r0DmHpnIwc0AWkpgSkjGOtACbCfYVSYrCHI6D8KtMmxBckvCysgZP7honCM1aSCMnF3RyGp/uDlZZIR6OMj864KmElH4HY6Y14v4kY8moqinfewYrB063c15qfYybi/NyxWEvN9Bhan2T+2x86XwonsdNffvk5Y/pTbWyFvudDb24THFQBYcbcAdTQgEAx+FMCORv4QeTTEQdUOaoR06vkDk16BzFyFeKYFpTigBwagBytigCVCO/NFwGzwI6Dtk9qfM0FihPpyS8dR6EU/aC5CpN4YsZvv20RPrtFTJpjSsVW8LWqfcjArCVNM0UmNbR4oVyO1YOmaKRGtrgZxxWfIPmK8kJMmT0FHKO5FJ+7GO/YUrBcqYJc+p/SnYQjHb9BTA6WAAAE16BzFxGpgTbuMntQAiueCMVLv0AnQ9z1qgFDZc0gHs+T7CkMfH834UAPPSgYwgUgKUyiRsAcVLQ7lWZAgxjPoBUOJVynJGQf9o1LiO5RuIdrZ9qlxHcqFdoPqelTyhcrTZU80WC50UT8Cu0wLiNQA5m3fKKAJEUCgCfdhcA80wHLgCgADZOKQydSFFAAWoGQzSbVwDyaQFZCQCW/CkAwsGYk9BSGQyKuWb9KVgKc0WTmlYdyi0Y8zjt0pWC5SvxgfWlYZqwydK3Mi2smeOlAFlWAWgY4P70ASx8kY6d6AHliDQA+I5BPrQBIW9KAAnHJ6UhlOR9zetIBznCD1oAif5FoAiXJ+Y/hQBBO/akBBsGCxFFgMi+wZcelFgP/9k=\" alt=\"<Image>\" /></div></td></tr>\n",
       "</tbody>\n",
       "</table>\n",
       "<small>(Showing first 4 rows)</small>\n",
       "</div>"
      ],
      "text/plain": [
       "╭────────┬────────────────────┬────────────────────┬────────────┬──────────────┬───────────────────┬───────────────────╮\n",
       "│ folder ┆ filename           ┆ object             ┆      …     ┆ image        ┆ image_resized_sma ┆ image_resized_lar │\n",
       "│ ---    ┆ ---                ┆ ---                ┆            ┆ ---          ┆ ll                ┆ ge                │\n",
       "│ Utf8   ┆ Utf8               ┆ List[Struct[bndbox ┆ (1 hidden) ┆ Image[MIXED] ┆ ---               ┆ ---               │\n",
       "│        ┆                    ┆ : Struct[xmax:     ┆            ┆              ┆ Image[MIXED]      ┆ Image[MIXED]      │\n",
       "│        ┆                    ┆ Utf8, xmin: Utf8,  ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ ymax: Utf8, ymin:  ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ Utf8], difficult:  ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ Utf8, name: Utf8,  ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ pose: Utf8,        ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ truncated: Utf8]]  ┆            ┆              ┆                   ┆                   │\n",
       "╞════════╪════════════════════╪════════════════════╪════════════╪══════════════╪═══════════════════╪═══════════════════╡\n",
       "│ val    ┆ ILSVRC2012_val_000 ┆ [{bndbox: {xmax:   ┆ …          ┆ <Image>      ┆ <Image>           ┆ <Image>           │\n",
       "│        ┆ 00001              ┆ 441,               ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ xmin: 1…           ┆            ┆              ┆                   ┆                   │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_000 ┆ [{bndbox: {xmax:   ┆ …          ┆ <Image>      ┆ <Image>           ┆ <Image>           │\n",
       "│        ┆ 00002              ┆ 499,               ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ xmin: 4…           ┆            ┆              ┆                   ┆                   │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_000 ┆ [{bndbox: {xmax:   ┆ …          ┆ <Image>      ┆ <Image>           ┆ <Image>           │\n",
       "│        ┆ 00003              ┆ 385,               ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ xmin: 3…           ┆            ┆              ┆                   ┆                   │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_000 ┆ [{bndbox: {xmax:   ┆ …          ┆ <Image>      ┆ <Image>           ┆ <Image>           │\n",
       "│        ┆ 00004              ┆ 441,               ┆            ┆              ┆                   ┆                   │\n",
       "│        ┆                    ┆ xmin: 9…           ┆            ┆              ┆                   ┆                   │\n",
       "╰────────┴────────────────────┴────────────────────┴────────────┴──────────────┴───────────────────┴───────────────────╯\n",
       "\n",
       "(Showing first 4 rows)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df.with_column(\"image_resized_small\", df[\"image\"].resize(32, 32))\n",
    "df = df.with_column(\"image_resized_large\", df[\"image\"].resize(256, 256))\n",
    "df.show(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e95ffcf9-a3b7-4132-9711-aa10a1a752f9",
   "metadata": {},
   "source": [
    "## Running Batch Inference\n",
    "\n",
    "Great! We now have our images nicely preprocessed, and are ready to run batch inference on them.\n",
    "\n",
    "Let's run a simple ResNet image classifier on each image's \"high-resolution\" and \"low-resolution\" variant, to see how sensitive our model is to the resolution of the image!\n",
    "\n",
    "First off, we define a \"Stateful UDF\" that will initialize our model once in the ``__init__`` method, and then use the same model across multiple invocations on different partitions of data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "262a01f8-16f7-44ac-92c0-a8b264088ba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch\n",
    "from torchvision.models import ResNet50_Weights, resnet50\n",
    "\n",
    "import daft\n",
    "\n",
    "\n",
    "@daft.udf(return_dtype=daft.DataType.string())\n",
    "class ClassifyImage:\n",
    "    def __init__(self):\n",
    "        weights = ResNet50_Weights.DEFAULT\n",
    "        self.model = resnet50(weights=weights)\n",
    "        self.model.eval()\n",
    "        self.preprocess = weights.transforms()\n",
    "        self.category_map = weights.meta[\"categories\"]\n",
    "\n",
    "    def __call__(self, images: daft.Series, shape: list[int, int, int]):\n",
    "        if len(images) == 0:\n",
    "            return []\n",
    "\n",
    "        # Convert the Daft Series into a list of Numpy arrays\n",
    "        data = images.cast(daft.DataType.tensor(daft.DataType.uint8(), tuple(shape))).to_pylist()\n",
    "\n",
    "        # Convert the numpy arrays into a torch tensor\n",
    "        images_array = torch.tensor(np.array(data)).permute((0, 3, 1, 2))\n",
    "\n",
    "        # Run the model, and map results back to a human-readable string\n",
    "        batch = self.preprocess(images_array)\n",
    "        prediction = self.model(batch).softmax(0)\n",
    "        class_ids = prediction.argmax(1)\n",
    "        prediction[:, class_ids]\n",
    "        return [self.category_map[class_id] for class_id in class_ids]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "651c1cae-d0af-46b9-b368-f156e2c71ce6",
   "metadata": {},
   "source": [
    "To run our model on the dataframe, simply call the ``ClassifyImage`` function we defined earlier on the columns!\n",
    "\n",
    "NOTE: If we wanted to ensure that our UDF will run with a GPU, we can specify:\n",
    "\n",
    "```\n",
    "ClassifyImageWithGPU = ClassifyImage.with_resource_requests(num_gpus=1)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9cbdb759-a6a0-493e-83c2-908dfd2f8051",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.with_column(\"predictions_lowres\", ClassifyImage(df[\"image_resized_small\"], [32, 32, 3]))\n",
    "df = df.with_column(\"predictions_highres\", ClassifyImage(df[\"image_resized_large\"], [256, 256, 3]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f2c250a2-9159-46a8-b8d9-e1db363a99fa",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table class=\"dataframe\">\n",
       "<thead><tr><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">folder<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">filename<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">object<br />List[Struct[bndbox: Struct[xmax: Utf8, xmin: Utf8, ymax: Utf8, ymin: Utf8], difficult: Utf8, name: Utf8, pose: Utf8, truncated: Utf8]]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_url<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_resized_small<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_resized_large<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">predictions_lowres<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">predictions_highres<br />Utf8</th></tr></thead>\n",
       "<tbody>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000001</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 441,<br />xmin: 111,<br />ymax: 193,<br />ymin: 108,<br />},<br />difficult: 0,<br />name: n01751748,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000001.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">rock python</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">rock python</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000003</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 385,<br />xmin: 38,<br />ymax: 373,<br />ymin: 19,<br />},<br />difficult: 0,<br />name: n02105855,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000003.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, /9j/4AAQSkZJRgABAgAAAQABAAD/wAARCACAAIADAREAAhEBAxEB/9sAQwAIBgYHBgUIBwcHCQkICgwUDQwLCwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy/9sAQwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDxW1kUPg4z2pQirhKTaLgetjMX7TcQq4gl2BxtYEdRUyQ0XdKs4LNfPvIxtboz9j7CuJ1JN2R3QhGKuzXl8RW3kKsMDuQuDgYAp2E5djIbW74r5MUaxq+BnGTTULImVWUmSfZ3nhzLNJIwGcZ4FTdluOupBHHCjoAOT7cVfKyOZN2L0UcW0s3XoMVDRdyHY24jgL9aGhqS3RGzMQUVsjPakUrbiBWEbMxC4/Ola7E5WWgsJjuG/eF+meKJXWxKd1qL5Cbvlhyexc1PM+4rBIWRPvop9BQrMfNoRBRL83zyN34qthaNmVaaVfXNx+4t3IznceB+ZrrukzlSbN+DRFTP2u4C4GdsfJodVdB+ydrskMmn2bbYbTzH7PNz+lJyb3Gkk9C7PJ9stVB+YD/ZwFrna1Om19iNLMfaAnl7FPfrihbA9EM+yQIxJwcc5607tglFIvpIkqrGke0MMEn+dJoFdGe0cFvPtVd6gkZ61Su9yWlbQiuXkMZXbyQAKEle4SbirGpcaZDHpiy7TmMD5QfvUKV3qRa2xgyOdxXH4LSNblf5g5bjGO5oJW4sMojb7xDHpilJXQcyFklXBLB2PYk1KTBtDA5bcqJt707EX6BHLImfmK5HOKdkNPzOiivnWJ1+aVmGEIGAKb3KtdaEYtmeICQkPk4Vep/GlfUuza1JJLSJFQRrvmK84GcH607iVhFM1vDIjKoGMkHmluxyelykJZZzkFiM8j2q7JGd5SL8SFigVOWBG485FK5fLrdjX024TLF/3bcj/ZpqabszJprVEk+n+WqSscIxAZh605aLQqNmxZIYI4FdWLbGxkjn1qG9B6tlyGRLgMH53rjB7CstUVY5/VoltbkrFwPXFbpaGdzI3HzASM49aGhJ6jlOWBAJOew4FJhcbKXPCg9aEiG2LGZNuCOe2aBDdpwSw5phc6NXLQJ8pAB+U55/KpOta6olkjXu5Lg8hj39hUjVupMJnJ2RKFGfvMOlMlakaxRJJtuWLHPIHf8ACgHtYsTgiMNFCI48459PpSHHXQSK4LyCPd5jA7QqDH8qpXZMkkW57jZGRKgjkXghl61lL4mhLY0/C9gNaZrME7WYFTjO010QXNozOWmpva/8PBp1k0vmswZhnPbFXOmrCjUbZw09v9llOEbA75rn5Ga8yE1K3W505XljYSdUKjOa1gtNTKb10OVNr+9AII56miRI8QuxIjUn1xS0FdsYIH3KwwMc80NoQ9VAwHB+uKnUlsekfzFSPlNIVnexqAbVyzbUJ6D1p7nda2jJEhYjKDOTjOcD86VyvQleVhAu/bGgPO3qSPehEWtqQpIBIzQLktyCxpgh7NMzAysdnUgDH6Uho7fwJpaXz3N20OFgGIwR1J7100I9Tnrsw/F9ubbVCkgyWwSAcc1hVj75pTfundfC20tmDXO3a8Y7dK1pLqRVeljt/Ed1bSaVLvII6D61U5JLUzpxbeh4lq9zHHM8brjngms4tNGstCaGJNS0xoVcLJtwpHerRkzkprIW8jpI5MqtggisZ6MV9Bj7ASqYOVB6d6z53cltLYhK7YwCRxRe7EpN6Bnevl+WpxyG71PmK/QWANG+cISeuRTDmVy7bCMuvmEtzwDz+lWz0bk7SyRbiECtnjPYfSiwr3M2ffNNxlwQd2e3vWiskZSu2PhR4iEZsMq/55pPuVF9DSS5XCp5RLEZLmkkNq56n8P4xHp0qtghyD+FdVNWRy1NWY/xFsLWJUnVf37NgewrOpFXuVTk7WKHgzW30uzyGyrnABPWuV1XBnQqamjf8dXU1r4egu4CfKYGRie1XWi5KNiabUW7nALcL4ktIzbQFCnDyN3NLWmO6mNsxd6NfKrSF4GPp0q41FIzlCxb8T2auY7mMcOOQOOadZaXOZo5sqpVVBG70rl8wWqshgMSK+49OlUhKxETiQ4wARxgUITHXMU1tCnmRbQ4yCTUqpF3SY2mt0XkljiDLAgPPDe1anojZHRZF88lvoP6Uw5UkSKrsyyRp+7OVHGKEglJWsEsMUQ6h5T361aJuhYN800UbYznFNESkup7Z4asVtNFjOMZGa6uhzbnHfEq5/0T/a27U+prCe5rDZnE22n3ltDp4F1lY2ywI9e1cfPGTaaOlQkkrM9ov9M+3+CVilj80FBwPSu5L3Ec11znCJYx6ZZvJGiqg4CjtXLPXVm6VtCuJILi2Zjyc4IPY1EdBvUfqkJn8OrLGuQhwQK65awucct7HBM6I7JliQeh6VxOz1I2Qnku0eRGCCe1P0Js3qVWkZWfByfSkgHSzzXKqHYu2NoyegpKCjsPmb3NCJVeUAMY4wvrk10NnoKPcmLwRjCgE5+8e/40WDmdxvnthVVuN2dop6IyqVEmIJBsI7g0nIylWd9DrPCehR6ndxyOyhEO4jvWtGHN7xm2+p62xjht1jTAVRgV0MEee+ObRp5LZsfIGyaxqLQ2pvU555BHPGjAbGO0fWvM5bSO6+h7TpjBrGO2kwAYgP0r2UvdR5cn7x5p41hOnNJbr91myuO461w1o2Z2U5XRxsdyQSucEnmsI7mjO20GIX3h+5tjyxzj8q9GGsLHDU3PObvy4HSEfeyd4I6NnGM1wtatCdrWKpJVSu9hnsDQpcpCly7EEcO/G1tpJ5brQStxlwix/KpZ5M9RRuW0k7Lc12iTcyghpByQOAK1OxzsisBu54G31NJtmEqjsIwVFY84zRbQxlO5XBlmdiFG306YqWxtprQ7vwXey2p8tXHPqa6aL0FHU9GhuN4UsQT1Natmhi+JkaW0Dpncp7VL2Gtzg5JEku4C+MLKpPp1rkcbSudileJ1n/Ce26eI1hSRWUv5IQHHfFeirNbnAa3iuKHVIYwoy4jOSO3pWNaN1YunKzueYX1lLAWcDocGvPUWnqdjkmjtPCBK6cJP4iSfrXfS+E46m5x3iKxii8QXhGdrNuAHHJrCrZSMk0rmJt2S7inyZA5Pb3rJKwla+o29mimu3eGMoONqgU3dsKkuaWhUldkIkONpOPpT3CMXLRFrfyGWPGT1z1o1sU5McziPkuCw96NibkBnyODxkcYzSvcRKFJOQ27djOOAKbA2tCme1l8wg7R2PetKd0awi7ne6Pey3twvOFHJFaJ3ZbVjWvofOhZW5piPPNTsGt5JEHKk5BFY1DeDuQ6b4Riu9Xh1EStHJ94qBxu9aqnUZlOKud7BBcQtgvuAGOeeK313M9Cpe6L57v8AJhZOazlTvqXGY/S7VtPs/JYYaNiR7irirImTuziPECS3Wr3E8ewpEeRvAb8q56qTkZ2u7mS9jqEgjdrfMUvzBepHpmoUGaOn1RLB4cnMheaVYAffJ/SqlGUdgjGPUtwaPHJbyR3TgEnjaOQP6VoqfccUobHOszDAU9FyTjpWXkYNNiRxl0YspYdzmk11KT0sTpCQkcnKqT8px1Iosm7Ao3aJ/JcKrOm1mOQAeafLqaNJOxbgk28AcKP1rWWiNoLQ7HwldASSByAxUYFOm7iqI6+Vg4JFUzM5vU7RLgl1GGHXFZSdzSOg7RQqsqEgOpxj1FFOwpnU7UdRyA/r610oxFSVUOyTGD1qrgOuIY2jIIBOPzp2EefXtrb22pSuYFLhs7yO1YKMlJ3Nny8qsQG6RmbcpORlcUO/QkrvOWLZDMOwB6fWpnz3XKPTqNiG4qshZe+DWnqSctHE5TzWT5SMVyXVyIprVCW4JmClX2E4OBnFTKL6FwXvao6HSNElciWZyYkXhGzgc9qqkrrmsVy9CDWQItgAwcnvWl7M1jBWKVp+8yT3PJobuUlY0bW/NhdCUdhSTsxSV0ehWF8lzGJFYFWGRWtzFoZJhZCw6E81ElqNMpywR+ZkfKaVguW7adwNm859zVxZLLIkZ3G49Bwa0RJaE5MWM5IrRMlnM6m0b3G4rliCBQxoypcLMdw+VR8x9DUaFDAUUEjlXyCeMj3xQBUYM7H94Dycse9ICpZWyL8zgseihvT0rNRSKu7F+J9uQqBRn+EYqxGzZTZgAzlcciobLS0MrXrBpYw8QBPesJOzNo9jmmlFuwi6betU9gJZP3sRI6gVmBo+HdbezkW2nc+WTgE9jWqZDjc7NbkSjIIJxVXM7EkhV4lb8DT3JKyqVYc8Doc4xRYDRil6c5PetUSyZ5VVQVbrVolnJ6jcIty2TuAbI56UNlIpZE25pDnJ5ANShjJCsb7sZGc/WhgIWWTa6rlRyeeaQBkkYx04we9IZYs7WSdjGmAQPm5xQBo29r5VwAHIjXj6msJayNo/CXmtBJCZEbco7Gly3Vx3tocR4hsDHL5ijk5qIuzsy90ZVveZGzueKclZiRoz6czWqSKPmY5py2EnqaWlXN1HGFlyQvGe4rPnYSSOhivN0QwRnuK2jIwaAXBzkZ9xmquItwzgDIbg9K0TEyO8ufLj3D61oiTBeSG4E24JGMg4ByxPtTGVnj8gogO4EA5U9P8A69SAclDJgbT0wMUARLIdiqPlCE5z3pFD0fznXBAbHLdhSEbVjd24sZGSQNMPvUSasNLUSC6848t16Yrm5jdIZDqZt7llKkoSAV/rWcZ2ZpKF0Vr9RdW5ZhzzTe9ydjhbmPyLzHQbqq+gHYWM63FgiHquKE9CGi4sWxtyj5SOlJom5nX7y2jxzRkhM8imkIvxXRYDPcZBq0Qxy3/lS4fgZ4OetbRQmdJbajp39n/6R5ZBGSCMmt4vQzaOPvgjXrm3VQjHIC88VDepa2IxNvJYLu5GBjH5VNx2ARgyAZwwyfmNFwE3KkTrsLADJO7H60ASxSpbRsxRSvIrOpFtWTHFlWafb88arHkcqtJrQaepLbTOqpt5bGBXNUVjogaJXzFQdCzEufX0FNWcbDb1KRuwk3kk/KzED61IPUw9Stc3JbHyt396rpcRa0gOG254FITOpRMQ56itEZMq6nbibT3wPujNUlqSzHt7hlt8SAjZ0PXitEiStdXLPII2I2EZBFXewWuJax7f3gYlieOTzRcLFnJPycn1I60DJlhkAG8ZB6H+770CFLbFKb+OgP8ASmBWc7WV5BgHHHbHqaPID//Z\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">Shetland sheepdog</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">Shetland sheepdog</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000004</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 441,<br />xmin: 94,<br />ymax: 284,<br />ymin: 15,<br />},<br />difficult: 0,<br />name: n04263257,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000004.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, /9j/4AAQSkZJRgABAgAAAQABAAD/wAARCABgAIADAREAAhEBAxEB/9sAQwAIBgYHBgUIBwcHCQkICgwUDQwLCwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy/9sAQwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDw2PY0qh8hMjdjrigZ2v8AYNnPaKbS/mVAmVUIBuPbODzVScbEq9x0K3EW1WWQ477M1yto11Ne1uJVxkyD/tmazbRRPJrIt22kzMf9mE0Rg5bA3YsprK7Qd5z6bMmtPYyFzCnW5APliZhnuuKfsV1YXZIuuS85tG6460eyj3C7JYte3MAbSQZOBjmq9hH+YXMWo9VhkA+SQZOORWn1OT2aF7RFpZo3xg9fUYqJYSquge0iOwD3HtWLi47oq6ewjRu5CRrudunt701bdiYhjS2UxwsWYjDyevqB7fzobcmK1jzHWfDst1qVxcJKAHcnBHShVEtC7MyZPDN2vRkNUqqCxY0/wffXOGnxAvoeTRKslsSos7Cz8NSQwrGk+FUY6VLq3QcprW2lJEBuyx9awcmyyHUb4Wji2tUBmPJJHCit6dFW5pkuXRFWHSri+ffKzu3qxwBTliIw0Q1Bs3LbQY1A37cegrmliX0LUDQj0i3HVSaydeRXIiUaZbAAeUDj1qPbS7lcqEGl2wPEWKarz7i5EXLbSLVyOCMdPau2lipGM4IvL4dilA8twABhQR09676WKe7MJQFfRxZqPOiSQNwqnnP+FdE8TBx1VyFB30MKaGcXc9lAnlJGgdm7vk9PYD9a5oYX2l7uzLdSxnPJMhZMEsPVf61z1aUqTtJFqSlsUJ7MjJ29fauSzNboyLlxESGC/niqUbiud8um2idIgT7V0ckTLmZZjsoyMeWBT5EHMxf7PhJ6E0vZofMzk5dLKazM0g+UncPp0ox16drbPYuj7xsRBIkBOFUV406iWrZ1Ri3oh/2rj5E/FuK5JYp/ZRr7JL4mN+0ynq4H0FYurVfUr3F0FSdz1dqV6n8wc0exKryE8Mape07ico9i3bSzIw+YH2IrenUrR63M5ezfQ2bbUxHgSRnJ4G05ya9PD4mcpcsonPUpxSuma1isdw5ndleQ8AZ4UV30pxk73uYTTWgybTYbjVp3KgM0S8+tdNOo4yM5K6OZ1vSWtXMir0Ocetd75a9PlkZK8WZnlpOgO0hSMivH5bM6bsxtT0JJFLADNaRUTNtnWquOn50iiRcE45NAEypz6D0FAGbqlkEmS4wfKY/OVHI9676ShWpeyqK5m24yujIumtYrohLtZUP3Cy7T+VeHi8ir356eq7HdTxkbcr0AtjqK8OdGpTdpqx0KalsyPLk/LSSQixEj4GetWooVy2gKDNaKKIuWElK9VzWsYolssSSQ74xEWLbfnYjgH0FdbnGMFCHzM0m3dlqGR48NGWDeorBp7rRlp9zZ0m+ee6k+0YDkAKfXFduFxMnLlqbmdWmrXiYvi3xDZPIulWLrcX8p2kJyIx6k16sZuCuc/LfVlRbdYIkjHRVxXNuURPGD2zTEW1QHqaAJlA7CmBYRDjOKALMCRygwyrlXGOauEnF3Qnqc1rXhP70kJyFBNd9PE9GZ8pyM6alpmcE7TnqM1pNwqK0lcabWxRbxVLattuLVSwPXOM151XL8LP7NvQ2jVmupPH45tBt3wOOOea45ZXR+zJo0VaXUux+NtJYgEyqP93P9aweWdpFe1Jh4z0kn/WSD6pR/Z8l9oPaEZ8c6chJRJnx7AZqvqD/mFzkE3xCk2ssFlg9F3t/hWscHBbsnnMu48Ta3qhEazGGNuNsfGa0VOlT1SC7Z1PgzRTbRSXsozI/ygnr70c7lqTI6t03cCmSVxHl8ZpoTJFXsDTAtRRsOScCgCwAT0B/GmkA4DBDdSOlUiStd6x9nmK3Cfuz0YVpy6XIc7PUqXkMF3F5ihXDDhhUXaNFZnHaxosEwOEGehNT7VotRRyVz4eCu20/Q5/pUOuUoFM6HIAGA+Y9Vpe3Q+Qnj0JgwXOQed2OlL26HyFtNFwOSMjp70nXDkLCaRGGy3ORzWbrsfKathp6l0RVHB6kdKwlJsq1jtIbuG2t0hQYVRitVUSViHFsa2oKQRzVe0QuUhN8q85NNVELlNqNB2xW5mWEAB9TTAk600AEADmqRJUuLeO7Qx7QwrROxEkmZECGy8+L522clMfyrKq7K5VGOvLcxbi9DLMZgqBCOhzwemR2rk9o7XmjsdJXtB3OY1HVhFK4ji3AcAn+I/wCFWo3VzFzs7FGHVJus0SqCfvH5QB/M0nTXQFUfUnOt228KqOy93xgVPs7bmilzOyJotXtXzncqju3ep5GU9C7aTRXm4xElV6tjispaDsbNqhXocVAF0MNnFK4EbOSDkdDVCImamB1qyDHFegcxMrGgCTcAOtNMBhUueelUiRQyr8q1aEStbxXUYR8g9ipwc0pbAtznb3w5EjPJEVDMNruigFvr6VySipK0XodMZuL95anKappro5It5CR/Fn+oppWM5S8jAudPeXOy1ck9Sckiq2JTQ06TPJEojjYAdcjb/Os3JJ6nXFrl0ZMun2dnGHu8SSdo06VjKpd2QampZs0u0BFjjHRFGAKybEbMIIQ/SlcY8ZwoH1oAeR8uOtMRWZuSO9UI64HjgV3nMPRj0/lQBZjA4pgSHBXHencQ0Reg/GmmKwuSoxg4q0xWILv94hJDBgPvKcN+PrWc6MZ6rRlxqOKs9UcpqM8kDE71x/tqV/8ArVyzpVo7O5tGdN+Rkyaoij53gH/bUVi/a9jS1PuZVxqplJWE7z/0zGf16VDjPq7FXgtiO20+a4lEkwPsKWkdhNtnQ2tpsA4qQLbDYMDvQAKMc0wGSPjgdaaEVzllJ71Qjpo3L46mvQOYuxDA60wLKsBQA4Pk0APV+cCgCRXAPNACTRxuoBGM0czCxUl0+KXgjinzsXKiCTw7p8v37aJj6lBScrlJWKzeGbBfuwqPoKwlBMtSZFJpEEK/KlZSpItTIRZbRkj8Kz9mPmK8lsS+T26UuQdytKCnygZNLlHcq7SXP6mnYQ1jt6U7AdJCwAGK7zmLaNTAkaTavHWkAIScZFDVxllSEWmIVSc5NAC7yTnvSGTR8cmkA4tQMieQKuTSAqbhKxJpWGQyoHOFOPWlYLlaSDkgD5RUuI7lG4iBPA7dalxHcpNEQduPrS5B3Kl0nl5IpcoXNmGXpXUYlxZewoAsKQOe9Axwk96AJUYsRzmgQ8vjigY6P5uaAJS9AAWx16UAVJZdzdeKkYNhU9KAIm+QHPWgCIEvnP3aAIJmHTFICt5Q5Y8UWC5lX4y+3sKVh3P/2Q==\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">eggnog</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">soup bowl</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000005</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 425,<br />xmin: 17,<br />ymax: 332,<br />ymin: 1,<br />},<br />difficult: 0,<br />name: n03125729,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000005.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">packet</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">cradle</div></td></tr>\n",
       "</tbody>\n",
       "</table>\n",
       "<small>(Showing first 4 rows)</small>\n",
       "</div>"
      ],
      "text/plain": [
       "╭────────┬───────────────────┬───────────────────┬────────────┬──────────────────┬──────────────────┬──────────────────╮\n",
       "│ folder ┆ filename          ┆ object            ┆      …     ┆ image_resized_la ┆ predictions_lowr ┆ predictions_high │\n",
       "│ ---    ┆ ---               ┆ ---               ┆            ┆ rge              ┆ es               ┆ res              │\n",
       "│ Utf8   ┆ Utf8              ┆ List[Struct[bndbo ┆ (3 hidden) ┆ ---              ┆ ---              ┆ ---              │\n",
       "│        ┆                   ┆ x: Struct[xmax:   ┆            ┆ Image[MIXED]     ┆ Utf8             ┆ Utf8             │\n",
       "│        ┆                   ┆ Utf8, xmin: Utf8, ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ ymax: Utf8, ymin: ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ Utf8], difficult: ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ Utf8, name: Utf8, ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ pose: Utf8,       ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ truncated: Utf8]] ┆            ┆                  ┆                  ┆                  │\n",
       "╞════════╪═══════════════════╪═══════════════════╪════════════╪══════════════════╪══════════════════╪══════════════════╡\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ rock python      ┆ rock python      │\n",
       "│        ┆ 000001            ┆ 441,              ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ xmin: 1…          ┆            ┆                  ┆                  ┆                  │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ Shetland         ┆ Shetland         │\n",
       "│        ┆ 000003            ┆ 385,              ┆            ┆                  ┆ sheepdog         ┆ sheepdog         │\n",
       "│        ┆                   ┆ xmin: 3…          ┆            ┆                  ┆                  ┆                  │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ eggnog           ┆ soup bowl        │\n",
       "│        ┆ 000004            ┆ 441,              ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ xmin: 9…          ┆            ┆                  ┆                  ┆                  │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ packet           ┆ cradle           │\n",
       "│        ┆ 000005            ┆ 425,              ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ xmin: 1…          ┆            ┆                  ┆                  ┆                  │\n",
       "╰────────┴───────────────────┴───────────────────┴────────────┴──────────────────┴──────────────────┴──────────────────╯\n",
       "\n",
       "(Showing first 4 rows)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.show(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5924409b-a923-46d9-8801-c10234b59ec5",
   "metadata": {},
   "source": [
    "Pretty cool! looks like decreasing the resolution of the image too much does have a strong effect on the model's performance, as expected.\n",
    "\n",
    "We can go ahead and show **just** the rows that have show this behavior. We will also need to filter for rows where the image does not have 3 channels because that will break our code.\n",
    "\n",
    "Note that the following cell will now take a much longer time to run as we need to run the model on all the rows instead of just the first 4!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b13facc4-b1c9-48af-bb21-bfa182febeca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table class=\"dataframe\">\n",
       "<thead><tr><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">folder<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">filename<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">object<br />List[Struct[bndbox: Struct[xmax: Utf8, xmin: Utf8, ymax: Utf8, ymin: Utf8], difficult: Utf8, name: Utf8, pose: Utf8, truncated: Utf8]]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_url<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_resized_small<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">image_resized_large<br />Image[MIXED]</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">predictions_lowres<br />Utf8</th><th style=\"text-wrap: nowrap; max-width:192px; overflow:auto; text-align:left\">predictions_highres<br />Utf8</th></tr></thead>\n",
       "<tbody>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000004</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 441,<br />xmin: 94,<br />ymax: 284,<br />ymin: 15,<br />},<br />difficult: 0,<br />name: n04263257,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000004.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">eggnog</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">soup bowl</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000005</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 425,<br />xmin: 17,<br />ymax: 332,<br />ymin: 1,<br />},<br />difficult: 0,<br />name: n03125729,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000005.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, /9j/4AAQSkZJRgABAgAAAQABAAD/wAARCABVAIADAREAAhEBAxEB/9sAQwAIBgYHBgUIBwcHCQkICgwUDQwLCwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy/9sAQwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDviKCRrCgZWuDtiY+gpAcXq2spCzKWVEHVj61zzqTcuWCNoU01dmDL4itQf9azfRTR7CvI1UIroVm8TW4PBk/BB/jS+p1X1LUUMPiiL1m/74X/ABp/UZ90Own/AAlCdvP/ACA/rT+oS7jsKPE6+k35ij6hLuFkL/wkq/3JvzFP6hLuA3/hJkHUT/mKPqEu4aCjxNGf+Wkw+qA/1qXgZ9Ggsi1b+JFZgEuULHorrtqHh60NROMWdJpmprehkKFJU6jsaqjUctGYVKajsae6ugyHINxoA6rFUZjGFIZVmGQRSA808W6eVMygcr86/Ssk+Sqn3Oik9LHCOc8V6BuiI5zTGKOtADicUDAPTAeHpoQhagCM0DEHLAVLA9D8Ogr5rn0C15VHVtmVbojeM3FdBhYLO+QXTRzuFUj5SfWpk2Jo7nFamQxhSGVZBQM5XxMlsmZ7mEzIiAeWG25z15/CsKlupcL9DmrXwHY3Di8W6n+ySAOkRwGUHnk96r6zJKxspMxvEnhiTRgbmFjLZk43Hqn19vetqVbm0e5UZ33Oc3KRmui5Y1sE9aYxNpAphccpqhXFJoC5GzYqWx3JbUiS6iTuWFZVJWg2M9E0ceXaEnqzE1wYf4LmFX4i+0oFdBmVJnjb72DSJbseo1ZkMYUhleQUgOF8cSyKsUMOC0vysp/u96yq2Ubsune9iHwhLqUmnpHPbDyQT9nbdkmMHjI7e1YqzLk7Fnypp5LzR9Vi3RTlhEyLkqjdAfpzzT+F6DTurnmkvhnU7fVk00JlpJCsbk8YHc+nFdiqq1ylM6dPh4U03EtyTfyH5GU/u1Hv3NT7d38g52YuoeC9VsbuGDzIJElB2y5wAR2I61tCpzEurZajbzwjqdpZGdHhmIGSiE5/DPWtm2kSq6bsZh0fUVKfuQzP2DjI+tcqxUGdNmaGnaftSSHUrQYBymeGJPoRXPXru6cGaU433Kp002Pia0WNZ/sTyqEldcA8cj+dOdXmpMxleMrHd8W+Y16KT1pUVaCJlqyCa4IHWtSLGaLr7RqUVmGw0hAznGKCGe3VZkMYUhleYhVJPQUgPM9avVuby4u2P7tcxxfQdTXFiZ3fKjoox6s3tE1S1jlhgRxtEKBcdB14opuzCpFmzcTIt15qIrvjacdvTmrb1JUdDO1G2B04v83ns29mQZYc9qEm1Yd0mZEmp3jRw7Az+UCGOzG4eop3KVN7mcusTXsqpfKsRVmMYIJ7dzj+Vb0tZGVSLS2IdCu53tfs94f36sSM91Ndi2sznkrakN/YRyShYbmWJh8yYTeOfWuZ4WCvY2+sze5ju8sjSLcMYBkLhwV3n2rjlBxex205q2jNg6l81tBHCHUyLGysvCc9cnvWTWjKe2xpayvk6pcR+jf0rrp/AjAxZ5cZ5rQTL/h/SbO/0671JpB9rtnZo1L4DbR0xRYye56/VmYxqQHPeJr42unmKI/v5j5afj3qZNRV2NK7seSeML8W1p9jgb5gNgI6+9clCHtJucjpk+WNkb2hWU0fgozXsxF9cFSnZoxnj/GtVGLqWRm3K2pqaXcS2Blku2lmt3HzzHJ2Y46+lVUhH7JSTtqRyapLf3Yt4ZcRAcZPJHua503c2jBHQQWaJZ7nYEheoqrmjOaux5UsHzcFgVDDkg8VrRb5lYisrJplo2QlAdfldehr0ThavoNktJCMswBAAJTjNDJUEYepaSr/ADYdtpzjOTn8a5q1PnWm50U5crMKOW4XxBpsDSPtadS4PrXJKm1F3RpKd2kjtfFn7rxBcj2Q/wDjgrSn8KJWxyd7chI2bvjitBSKdiZXkSBHIBODjqPWgSPoqrMCOQ4BNIDz7Wb/AO0ajc3WcxWo8uL3c1y4iW0UbUo9Ty37c03igOIzKI87RjOD61rGk1S5Vuy3Jcx2ds97eoN0LKByWfiilS5HdhJuWiOre5jk8OjTsneYyjHjAP8AnNaXRPspN6mPYaBBbyeaJHOR3OMY/lUSipG8U4nRWsQEflOC0ecfex37VPskU5PcjvtBjvruK7huB8i7RHKNpBz69K2pRjFnPUcmMNs0A2yrtbnINdaMSWTTLo2LXXlHywMkY+YD1xWU5uL20Kgoydr6nPXjK0bMuMEcU90FrOxzTgf2/pnr9oX+RrCv/DY1ubvjy5SDxNOhU5MUR4/3Frmg3ymi2OKurhJXRBnrk1omKS1sanh+IBpLph8qDC+/+T/KqBHvWa0OcxvEWo/YNMkdf9Y3yoPUmk3ZXDd2PL/Edy1naQ2EbZmPLn1dv8OtcEffqXZ2RVokmlaRY2Cq6wqZyMGRhkn1rs55MtQRuqhd89B6D9f6Uh7IsKw3kclzjqMZOcZoBItIeGUgAZOcnI57j8qYtyUGWFGlEQZF5JPQnpnHpQXboOS8XcIztDZxhm4x3HT1p3Jt1LtvPE7AsyMwYHLLjj2B/nTUrEygmtUWrmd72z+zLOiRcA4GDtz0q1Oxl7BIzpfDdpJGAHfHOMN1+lP2jBU1c4bW9JSx8Qaa8LsU+0ISH6jnFY1p+40N07ajvH+my3fj+RI5xE32WFlyevyAd6zpr3UZHG6tp9xYwpMzowkYqOB+YxVjNSw13S7a1ihd5FKnLfJ1oHdHvjNgZrUwOG1q9W91ltx/0WxUu/u3pXNiJ2jy9zSlG7ueaTXR1XxSu9vlQl2+p7flSpRtG/c6N5Jdjt7aFY4twz0OcHv/AJFaI1b6FxFGQc7iOOeo460xMmWIl/mVRkEgEkHP+e1AdCeLbE6DaY8YGduMnA9fqaYau/U0ba55DOHCtn7wyD6frTQmraCzWkF0WfYQxGMg5YHPT65oshorf2TIjZhuSGwOWUjHP8qLDbIVW/srkeYkksZzhuQAPTOOtGoaWLq6xbOokYpHnnhsgHOM9PrTuTyPZHJeJ5o59Z05kZWzcRn5eg5HHv2rKt8LB7FX4ox/8VVE396zhP8A47/9aph8KOY4do93B5qgIntlPamKx9C63qK6fpss7HkLx9a2MTzXWZ3sdC2Nkz3JM0uOuOw/z6V58pc9Q7IRsrnM6BpN8kjXzQo0kpzyTlR9K7Ha1kEE73Z2UAudoVioPptxipNdDRV2RFyisp+bHTjjimC1ZbjcYD5TIJO08EDHWqE1fQeQd5ALs4GDtI7fxfXiga7luOL5mTzNyBRj5QACfT3oFfrYtx26Spv2E7idoJwoznngUx35dEyxtcqZFJJbAO49McUyHbYiQvtVERjgHIznHHP+NBb6tsr3UVncRKk1vGWAwG+6c9/x5oJV7nnWqQNZ+IrKNXaSE3C43duR0NYVNmOexqfE5N3iGzPrZRf1pU/hRynFeVzVDEePigD1DxRM1zq9lZNxETvb3xV1m1B2MqauzhNf1me316NlAwJSoGegHFebGCmpXO9PlSOutY4buOOcxhJJFGSvv6iinXnHR6lNEMsjwFgxD7QDnGD0/wDrV6EXzRuS7EEWpSSKCEUEkD19j/KqKUdTas0juZCPKVMRqcj6800RNtIuwxO0QDyllYjIx2Pb9aCXJKWiHxkmBmclypPU+hFMr7VkW4owfLySVd1O30z2zTHd2ZYkcxyMhy4U4G4+pwadiV8Nx8SiSWVAWQxLgEHnjFFhvRJjLqJQio43ByFPY8gUxJ3u+x5frOF8QWyqNqpcphR06gf0rmq7Mcr2Nv4jqG1awb/pyj/m1TS+E5TjWQZqxjGQEGgD/9k=\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">packet</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">cradle</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000006</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 358,<br />xmin: 105,<br />ymax: 279,<br />ymin: 204,<br />},<br />difficult: 0,<br />name: n01735189,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000006.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">golf ball</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">sidewinder</div></td></tr>\n",
       "<tr><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">val</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">ILSVRC2012_val_00000007</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">[{bndbox: {xmax: 498,<br />xmin: 89,<br />ymax: 268,<br />ymin: 75,<br />},<br />difficult: 0,<br />name: n02346627,<br />pose: Unspecified,<br />truncated: 0,<br />}]</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">s3://daft-public-datasets/imagenet/val-10k-sample-deltalake/images/ILSVRC2012_val_00000007.jpeg</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\"><img style=\"max-height:128px;width:auto\" src=\"data:image/png;base64, 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\" alt=\"<Image>\" /></div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">Madagascar cat</div></td><td><div style=\"text-align:left; max-width:192px; max-height:64px; overflow:auto\">porcupine</div></td></tr>\n",
       "</tbody>\n",
       "</table>\n",
       "<small>(Showing first 4 rows)</small>\n",
       "</div>"
      ],
      "text/plain": [
       "╭────────┬───────────────────┬───────────────────┬────────────┬──────────────────┬──────────────────┬──────────────────╮\n",
       "│ folder ┆ filename          ┆ object            ┆      …     ┆ image_resized_la ┆ predictions_lowr ┆ predictions_high │\n",
       "│ ---    ┆ ---               ┆ ---               ┆            ┆ rge              ┆ es               ┆ res              │\n",
       "│ Utf8   ┆ Utf8              ┆ List[Struct[bndbo ┆ (3 hidden) ┆ ---              ┆ ---              ┆ ---              │\n",
       "│        ┆                   ┆ x: Struct[xmax:   ┆            ┆ Image[MIXED]     ┆ Utf8             ┆ Utf8             │\n",
       "│        ┆                   ┆ Utf8, xmin: Utf8, ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ ymax: Utf8, ymin: ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ Utf8], difficult: ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ Utf8, name: Utf8, ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ pose: Utf8,       ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ truncated: Utf8]] ┆            ┆                  ┆                  ┆                  │\n",
       "╞════════╪═══════════════════╪═══════════════════╪════════════╪══════════════════╪══════════════════╪══════════════════╡\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ eggnog           ┆ soup bowl        │\n",
       "│        ┆ 000004            ┆ 441,              ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ xmin: 9…          ┆            ┆                  ┆                  ┆                  │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ packet           ┆ cradle           │\n",
       "│        ┆ 000005            ┆ 425,              ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ xmin: 1…          ┆            ┆                  ┆                  ┆                  │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ golf ball        ┆ sidewinder       │\n",
       "│        ┆ 000006            ┆ 358,              ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ xmin: 1…          ┆            ┆                  ┆                  ┆                  │\n",
       "├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
       "│ val    ┆ ILSVRC2012_val_00 ┆ [{bndbox: {xmax:  ┆ …          ┆ <Image>          ┆ Madagascar cat   ┆ porcupine        │\n",
       "│        ┆ 000007            ┆ 498,              ┆            ┆                  ┆                  ┆                  │\n",
       "│        ┆                   ┆ xmin: 8…          ┆            ┆                  ┆                  ┆                  │\n",
       "╰────────┴───────────────────┴───────────────────┴────────────┴──────────────────┴──────────────────┴──────────────────╯\n",
       "\n",
       "(Showing first 4 rows)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter out images where the number of channels != 3\n",
    "df = df.where(df[\"image\"].apply(lambda img: img.shape[2] == 3, return_dtype=daft.DataType.bool()))\n",
    "\n",
    "# Show only rows where the predictions on the low-res/high-res images don't match\n",
    "df = df.where(df[\"predictions_lowres\"] != df[\"predictions_highres\"])\n",
    "\n",
    "df.show(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9bb2c154-a8a1-4d4a-97b6-7096f2a33df7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
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 "nbformat": 4,
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